Yongfeng Liu

8.3k total citations · 1 hit paper
90 papers, 1.9k citations indexed

About

Yongfeng Liu is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yongfeng Liu has authored 90 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 14 papers in Genetics and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yongfeng Liu's work include Receptor Mechanisms and Signaling (11 papers), Ion channel regulation and function (9 papers) and Neuropeptides and Animal Physiology (5 papers). Yongfeng Liu is often cited by papers focused on Receptor Mechanisms and Signaling (11 papers), Ion channel regulation and function (9 papers) and Neuropeptides and Animal Physiology (5 papers). Yongfeng Liu collaborates with scholars based in China, United States and Ukraine. Yongfeng Liu's co-authors include Bryan L. Roth, Xi‐Ping Huang, Jiuping Ding, Yurii S. Moroz, Dmytro S. Radchenko, B. Krumm, Xia Shen, Honglin Liu, Shensheng Han and Qing Wei and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Advanced Materials.

In The Last Decade

Yongfeng Liu

88 papers receiving 1.9k citations

Hit Papers

Synthon-based ligand discovery in virtual libraries of ov... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yongfeng Liu China 25 1.0k 285 242 167 129 90 1.9k
Soon Young Shin South Korea 34 2.3k 2.2× 288 1.0× 86 0.4× 380 2.3× 3 0.0× 201 4.6k
Vincenzo Martorana Italy 25 1.1k 1.1× 27 0.1× 69 0.3× 192 1.1× 7 0.1× 66 2.0k
Yuan Luo China 28 908 0.9× 107 0.4× 29 0.1× 486 2.9× 3 0.0× 130 2.5k
Chang‐Ping Hu China 32 909 0.9× 138 0.5× 27 0.1× 42 0.3× 6 0.0× 90 2.7k
Tao Che United States 24 2.3k 2.3× 1.2k 4.2× 751 3.1× 103 0.6× 2 0.0× 69 3.5k
Yunjiang Feng Australia 29 938 0.9× 58 0.2× 86 0.4× 248 1.5× 3 0.0× 135 2.8k
Nunilo Cremades Spain 35 2.2k 2.1× 703 2.5× 208 0.9× 117 0.7× 49 4.8k
Jie Yang China 32 2.0k 2.0× 193 0.7× 212 0.9× 275 1.6× 143 3.2k
Annalisa Relini Italy 36 2.7k 2.7× 339 1.2× 198 0.8× 198 1.2× 109 4.0k
Hisashi Yagi Japan 33 1.8k 1.8× 157 0.6× 134 0.6× 121 0.7× 78 2.9k

Countries citing papers authored by Yongfeng Liu

Since Specialization
Citations

This map shows the geographic impact of Yongfeng Liu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yongfeng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongfeng Liu more than expected).

Fields of papers citing papers by Yongfeng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yongfeng Liu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yongfeng Liu. The network helps show where Yongfeng Liu may publish in the future.

Co-authorship network of co-authors of Yongfeng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yongfeng Liu. A scholar is included among the top collaborators of Yongfeng Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yongfeng Liu. Yongfeng Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Jing, Haifei Wang, Di Wu, et al.. (2025). Accurate and Reliable Detection of Dynamic Electrophysiological Signals via In Situ Formation of Epidermal Electrodes. Advanced Functional Materials. 36(1). 1 indexed citations
2.
Liu, Yingli, et al.. (2025). Microbial community and organic compounds composition analysis and the edible security of common buckwheat fermented via Kombucha consortium. Food Chemistry Molecular Sciences. 10. 100247–100247. 2 indexed citations
3.
Liu, Yongfeng, et al.. (2024). Impact of Lycium barbarum polysaccharides on wheat dough quality and hydration dynamics. LWT. 209. 116753–116753. 3 indexed citations
5.
Zhao, Xiaochao, Miao Wang, Chaoyang Li, et al.. (2024). Assessing the impact of sequencing platforms and analytical pipelines on whole-exome sequencing. Frontiers in Genetics. 15. 1334075–1334075. 3 indexed citations
7.
Sadybekov, Anastasiia, Saheem A. Zaidi, Dmitry B. Eremin, et al.. (2024). Virtual Screening of a Chemically Diverse “Superscaffold” Library Enables Ligand Discovery for a Key GPCR Target. ACS Chemical Biology. 19(4). 866–874. 5 indexed citations
8.
Gahbauer, Stefan, Joao Bráz, Veronica Craik, et al.. (2023). Docking for EP4R antagonists active against inflammatory pain. Nature Communications. 14(1). 8067–8067. 19 indexed citations
9.
Zhang, Shicheng, Ryan H. Gumpper, Xi‐Ping Huang, et al.. (2022). Molecular basis for selective activation of DREADD-based chemogenetics. Nature. 612(7939). 354–362. 49 indexed citations
10.
Lv, Na, Ying Wang, Yongfeng Liu, et al.. (2022). Decreased Microglia in Pax2 Mutant Mice Leads to Impaired Learning and Memory. ACS Chemical Neuroscience. 13(16). 2490–2502. 2 indexed citations
11.
Liu, Yongfeng, Can Cao, Xi‐Ping Huang, et al.. (2022). Ligand recognition and allosteric modulation of the human MRGPRX1 receptor. Nature Chemical Biology. 19(4). 416–422. 26 indexed citations
12.
Alon, Assaf, Jiankun Lyu, João M. Bráz, et al.. (2021). Structures of the σ2 receptor enable docking for bioactive ligand discovery. Nature. 600(7890). 759–764. 135 indexed citations
13.
Wang, Yifan, et al.. (2021). A high sensitivity method of closed-tube loop-mediated isothermal amplification developed for visual and rapid detection of cow milk adulteration. International Dairy Journal. 127. 105214–105214. 11 indexed citations
14.
Zhuang, Youwen, B. Krumm, Huibing Zhang, et al.. (2021). Mechanism of dopamine binding and allosteric modulation of the human D1 dopamine receptor. Cell Research. 31(5). 593–596. 62 indexed citations
15.
Lin, Yangyang, Sam Z. Grinter, Zhongju Lu, et al.. (2021). Modulating the voltage sensor of a cardiac potassium channel shows antiarrhythmic effects. Proceedings of the National Academy of Sciences. 118(20). 10 indexed citations
16.
Xu, Peiyu, Sijie Huang, Chunyou Mao, et al.. (2021). Structures of the human dopamine D3 receptor-Gi complexes. Molecular Cell. 81(6). 1147–1159.e4. 57 indexed citations
17.
Peng, Mian, et al.. (2020). Two mechanically ventilated cases of COVID-19 successfully managed with a sequential ventilation weaning protocol: Two case reports. World Journal of Clinical Cases. 8(15). 3305–3313. 2 indexed citations
18.
Patel, Nilkanth, Xi‐Ping Huang, Jessica M. Grandner, et al.. (2020). Structure-based discovery of potent and selective melatonin receptor agonists. eLife. 9. 25 indexed citations
19.
Liu, Yongfeng, et al.. (2015). TLR3 gene polymorphisms in cancer: a systematic review and meta-analysis. Chinese Journal of Cancer. 34(3). 272–84. 19 indexed citations
20.
Liu, Yongfeng, Yang Jiao, Linsen Zan, et al.. (2010). Molecular characterization, polymorphism of growth differentiation factor 5 gene and association with ultrasound measurement traits in native Chinese cattle breeds. AFRICAN JOURNAL OF BIOTECHNOLOGY. 9(33). 5269–5273. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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